8. 错误和异常
*************

到目前为止，我们还没有提到错误消息，但是如果你已经尝试过这些例子，你可
能已经看过了一些错误消息。 目前有（至少）两种可区分的错误：*语法错误*
和*异常*。


8.1. 语法错误
=============

语法错误又称代码解析错误，是Python初学者最容易遇到的错误。

   >>> while True print('Hello world')
     File "<stdin>", line 1
       while True print('Hello world')
                      ^
   SyntaxError: invalid syntax

解析器会输出出现语法错误的那一行，并显示一个“箭头”，指向这行里面检测到
第一个错误。 错误是由箭头指示的位置的*前面*的标识符引起的，也有可能是
在这里才检测除了。：在示例中，在func：*print`这个函数中检测到错误：，
因为少了个冒号 (`*':'>>``<<)。还会输出文件名和行号，以便输入来自脚本文
件时知道错误在哪里。


8.2. 异常
=========

即使语句或表达式在语法上是正确的，但在尝试执行它时可能会导致错误。 在
执行期间检测到的错误被称为*异常*，异常不一定会导致严重后果：您将很快学
会如何在Python程序中处理它们。 但是，大多数异常并不会被程序处理，此时
会显示如下所示的错误信息:

   >>> 10 * (1/0)
   Traceback (most recent call last):
     File "<stdin>", line 1, in <module>
   ZeroDivisionError: division by zero
   >>> 4 + spam*3
   Traceback (most recent call last):
     File "<stdin>", line 1, in <module>
   NameError: name 'spam' is not defined
   >>> '2' + 2
   Traceback (most recent call last):
     File "<stdin>", line 1, in <module>
   TypeError: Can't convert 'int' object to str implicitly

错误信息的最后一行告诉我们程序遇到了什么类型的错误。异常有不同的类型，
而其类型名称将会在错误信息中输出出来。上述样例中的异常类型依次是：
"ZeroDivisionError", "NameError" and "TypeError"。错误信息中的异常类型
是执行时抛出的内建异常类型。所有的内建类型都会如此，而虽然这是惯例，但
是用户自定义的异常不一定如此。标准的异常类型是内建的标识符而非保留关键
字。

这一行剩下的部分能告诉我们此处抛出异常的具体类型以及哪一部分代码抛出了
异常。

The preceding part of the error message shows the context where the
exception happened, in the form of a stack traceback. In general it
contains a stack traceback listing source lines; however, it will not
display lines read from standard input.

Built-in Exceptions lists the built-in exceptions and their meanings.


8.3. Handling Exceptions
========================

It is possible to write programs that handle selected exceptions. Look
at the following example, which asks the user for input until a valid
integer has been entered, but allows the user to interrupt the program
(using "Control-C" or whatever the operating system supports); note
that a user-generated interruption is signalled by raising the
"KeyboardInterrupt" exception.

   >>> while True:
   ...     try:
   ...         x = int(input("Please enter a number: "))
   ...         break
   ...     except ValueError:
   ...         print("Oops!  That was no valid number.  Try again...")
   ...

The "try" statement works as follows.

* First, the *try clause* (the statement(s) between the "try" and
  "except" keywords) is executed.

* If no exception occurs, the *except clause* is skipped and
  execution of the "try" statement is finished.

* If an exception occurs during execution of the try clause, the
  rest of the clause is skipped.  Then if its type matches the
  exception named after the "except" keyword, the except clause is
  executed, and then execution continues after the "try" statement.

* If an exception occurs which does not match the exception named in
  the except clause, it is passed on to outer "try" statements; if no
  handler is found, it is an *unhandled exception* and execution stops
  with a message as shown above.

A "try" statement may have more than one except clause, to specify
handlers for different exceptions.  At most one handler will be
executed. Handlers only handle exceptions that occur in the
corresponding try clause, not in other handlers of the same "try"
statement.  An except clause may name multiple exceptions as a
parenthesized tuple, for example:

   ... except (RuntimeError, TypeError, NameError):
   ...     pass

A class in an "except" clause is compatible with an exception if it is
the same class or a base class thereof (but not the other way around
--- an except clause listing a derived class is not compatible with a
base class).  For example, the following code will print B, C, D in
that order:

   class B(Exception):
       pass

   class C(B):
       pass

   class D(C):
       pass

   for cls in [B, C, D]:
       try:
           raise cls()
       except D:
           print("D")
       except C:
           print("C")
       except B:
           print("B")

Note that if the except clauses were reversed (with "except B" first),
it would have printed B, B, B --- the first matching except clause is
triggered.

The last except clause may omit the exception name(s), to serve as a
wildcard. Use this with extreme caution, since it is easy to mask a
real programming error in this way!  It can also be used to print an
error message and then re-raise the exception (allowing a caller to
handle the exception as well):

   import sys

   try:
       f = open('myfile.txt')
       s = f.readline()
       i = int(s.strip())
   except OSError as err:
       print("OS error: {0}".format(err))
   except ValueError:
       print("Could not convert data to an integer.")
   except:
       print("Unexpected error:", sys.exc_info()[0])
       raise

The "try" ... "except" statement has an optional *else clause*, which,
when present, must follow all except clauses.  It is useful for code
that must be executed if the try clause does not raise an exception.
For example:

   for arg in sys.argv[1:]:
       try:
           f = open(arg, 'r')
       except OSError:
           print('cannot open', arg)
       else:
           print(arg, 'has', len(f.readlines()), 'lines')
           f.close()

The use of the "else" clause is better than adding additional code to
the "try" clause because it avoids accidentally catching an exception
that wasn't raised by the code being protected by the "try" ...
"except" statement.

When an exception occurs, it may have an associated value, also known
as the exception's *argument*. The presence and type of the argument
depend on the exception type.

The except clause may specify a variable after the exception name.
The variable is bound to an exception instance with the arguments
stored in "instance.args".  For convenience, the exception instance
defines "__str__()" so the arguments can be printed directly without
having to reference ".args".  One may also instantiate an exception
first before raising it and add any attributes to it as desired.

   >>> try:
   ...     raise Exception('spam', 'eggs')
   ... except Exception as inst:
   ...     print(type(inst))    # the exception instance
   ...     print(inst.args)     # arguments stored in .args
   ...     print(inst)          # __str__ allows args to be printed directly,
   ...                          # but may be overridden in exception subclasses
   ...     x, y = inst.args     # unpack args
   ...     print('x =', x)
   ...     print('y =', y)
   ...
   <class 'Exception'>
   ('spam', 'eggs')
   ('spam', 'eggs')
   x = spam
   y = eggs

If an exception has arguments, they are printed as the last part
('detail') of the message for unhandled exceptions.

Exception handlers don't just handle exceptions if they occur
immediately in the try clause, but also if they occur inside functions
that are called (even indirectly) in the try clause. For example:

   >>> def this_fails():
   ...     x = 1/0
   ...
   >>> try:
   ...     this_fails()
   ... except ZeroDivisionError as err:
   ...     print('Handling run-time error:', err)
   ...
   Handling run-time error: division by zero


8.4. Raising Exceptions
=======================

The "raise" statement allows the programmer to force a specified
exception to occur. For example:

   >>> raise NameError('HiThere')
   Traceback (most recent call last):
     File "<stdin>", line 1, in <module>
   NameError: HiThere

The sole argument to "raise" indicates the exception to be raised.
This must be either an exception instance or an exception class (a
class that derives from "Exception").  If an exception class is
passed, it will be implicitly instantiated by calling its constructor
with no arguments:

   raise ValueError  # shorthand for 'raise ValueError()'

If you need to determine whether an exception was raised but don't
intend to handle it, a simpler form of the "raise" statement allows
you to re-raise the exception:

   >>> try:
   ...     raise NameError('HiThere')
   ... except NameError:
   ...     print('An exception flew by!')
   ...     raise
   ...
   An exception flew by!
   Traceback (most recent call last):
     File "<stdin>", line 2, in <module>
   NameError: HiThere


8.5. User-defined Exceptions
============================

Programs may name their own exceptions by creating a new exception
class (see 类 for more about Python classes).  Exceptions should
typically be derived from the "Exception" class, either directly or
indirectly.

Exception classes can be defined which do anything any other class can
do, but are usually kept simple, often only offering a number of
attributes that allow information about the error to be extracted by
handlers for the exception.  When creating a module that can raise
several distinct errors, a common practice is to create a base class
for exceptions defined by that module, and subclass that to create
specific exception classes for different error conditions:

   class Error(Exception):
       """Base class for exceptions in this module."""
       pass

   class InputError(Error):
       """Exception raised for errors in the input.

       Attributes:
           expression -- input expression in which the error occurred
           message -- explanation of the error
       """

       def __init__(self, expression, message):
           self.expression = expression
           self.message = message

   class TransitionError(Error):
       """Raised when an operation attempts a state transition that's not
       allowed.

       Attributes:
           previous -- state at beginning of transition
           next -- attempted new state
           message -- explanation of why the specific transition is not allowed
       """

       def __init__(self, previous, next, message):
           self.previous = previous
           self.next = next
           self.message = message

Most exceptions are defined with names that end in "Error," similar to
the naming of the standard exceptions.

Many standard modules define their own exceptions to report errors
that may occur in functions they define.  More information on classes
is presented in chapter 类.


8.6. Defining Clean-up Actions
==============================

The "try" statement has another optional clause which is intended to
define clean-up actions that must be executed under all circumstances.
For example:

   >>> try:
   ...     raise KeyboardInterrupt
   ... finally:
   ...     print('Goodbye, world!')
   ...
   Goodbye, world!
   Traceback (most recent call last):
     File "<stdin>", line 2, in <module>
   KeyboardInterrupt

A *finally clause* is always executed before leaving the "try"
statement, whether an exception has occurred or not. When an exception
has occurred in the "try" clause and has not been handled by an
"except" clause (or it has occurred in an "except" or "else" clause),
it is re-raised after the "finally" clause has been executed.  The
"finally" clause is also executed "on the way out" when any other
clause of the "try" statement is left via a "break", "continue" or
"return" statement.  A more complicated example:

   >>> def divide(x, y):
   ...     try:
   ...         result = x / y
   ...     except ZeroDivisionError:
   ...         print("division by zero!")
   ...     else:
   ...         print("result is", result)
   ...     finally:
   ...         print("executing finally clause")
   ...
   >>> divide(2, 1)
   result is 2.0
   executing finally clause
   >>> divide(2, 0)
   division by zero!
   executing finally clause
   >>> divide("2", "1")
   executing finally clause
   Traceback (most recent call last):
     File "<stdin>", line 1, in <module>
     File "<stdin>", line 3, in divide
   TypeError: unsupported operand type(s) for /: 'str' and 'str'

As you can see, the "finally" clause is executed in any event.  The
"TypeError" raised by dividing two strings is not handled by the
"except" clause and therefore re-raised after the "finally" clause has
been executed.

In real world applications, the "finally" clause is useful for
releasing external resources (such as files or network connections),
regardless of whether the use of the resource was successful.


8.7. Predefined Clean-up Actions
================================

Some objects define standard clean-up actions to be undertaken when
the object is no longer needed, regardless of whether or not the
operation using the object succeeded or failed. Look at the following
example, which tries to open a file and print its contents to the
screen.

   for line in open("myfile.txt"):
       print(line, end="")

The problem with this code is that it leaves the file open for an
indeterminate amount of time after this part of the code has finished
executing. This is not an issue in simple scripts, but can be a
problem for larger applications. The "with" statement allows objects
like files to be used in a way that ensures they are always cleaned up
promptly and correctly.

   with open("myfile.txt") as f:
       for line in f:
           print(line, end="")

After the statement is executed, the file *f* is always closed, even
if a problem was encountered while processing the lines. Objects
which, like files, provide predefined clean-up actions will indicate
this in their documentation.
